Data Analytics Training & Enablement
Grow your data analytics expertise with webinars, tutorials, training courses, expert insights, and community resources designed for biopharma environments.
Whether you are learning the fundamentals of multivariate data analysis (MVDA), exploring design of experiments (DOE), or advancing your expertise in process monitoring and optimization, Sartorius offers learning opportunities for every stage of your analytics journey.
Explore self-paced eLearning courses
Structured learning paths for MVDA and DOE
Develop practical data analytics skills through a structured eLearning curriculum covering MVDA, DOE, process monitoring, advanced modeling, and bioprocess optimization.
Courses are structured, self-paced, and designed to support learners from foundational concepts through advanced applications.
Design of Experiments (DOE) provides a structured, cost-effective approach to experimentation, helping scientists understand the effects of critical process parameters while making efficient use of time and resources. Our DOE eLearning courses use MODDE® software to support learning from foundational principles through advanced experimental design, optimization, and robustness.
- Level 1: Learn the principles of DOE and how to create, analyze, and interpret efficient experimental designs for screening, optimization, and robustness testing. Click here to view course.
- Level 2: Build on the fundamentals with more advanced design approaches for constrained experiments, formulation development, stability testing, and optimization. Click here to view course.
- Level 3: Develop a deeper theoretical understanding of DOE and explore advanced designs, constraints, screening methods, and optimization strategies. Click here to view course.
Multivariate Data Analysis (MVDA) helps separate signal from noise in complex datasets with many variables and presents results in clear graphical formats. Using SIMCA® software, the eLearning pathway develops skills in data exploration, modeling, interpretation, and process understanding from introductory through advanced applications.
- Level 1: Learn how to organize, visualize, and model multivariate data using PCA, PLS, and OPLS® methods. Click here to view course.
- Level 2: Develop a deeper understanding of MVDA through more advanced model exploration, batch and multiblock modeling, model validation, and multivariate calibration. Click here to view course.
- Level 3: Explore advanced process modeling and monitoring, complex data structures, nonlinear modeling, cross-validation, and multivariate calibration. Click here to view course.
Learn how SIMCA®-online uses MVDA models for real-time process monitoring, turning complex process data into clear, actionable insights. This self-paced operator training introduces common applications including end-to-end process visibility, endpoint prediction, forecasting, early fault detection, and warning of process deviations.
- Complimentary course: Designed for SIMCA®-online operators; basic knowledge of MVDA is recommended but not required.
Explore the role of advanced data analytics in developing and implementing process intensification strategies. Using real-world examples, this introductory course shows how DOE, MVDA | machine learning, and mechanistic modeling can help optimize, control, and scale intensified bioprocesses and support continuous and hybrid processing.
Complimentary course: Gain an introduction to data-driven and modeling approaches for process intensification, including their role in continuous processing and digital twins.
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Frequently asked questions
Resources include webinars, in-house training, eLearning, and a user community that support ongoing learning across the data analytics products.
Yes. Webinars and recorded sessions cover multivariate data analysis, design of experiments, and product-specific topics.
Yes. A user community connects practitioners to share knowledge, questions, and best practices around the data analytics tools. Sign up for our newsletter to stay informed.
